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We're looking for a Senior Software Engineer with a focus on healthcare data and at least 5 years of general engineering experience who wants to make an impact leading our new Clinical Data team. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get reimagining last-mile healthcare delivery. *If you want to tackle tough technical challenges* , we want to talk to you. Health tech is challenging enough on its own, but add in DoorDash-style logistics problems at scale and the constraints of a distributed labor force working in patients’ homes and things get interesting quickly. We need someone to help solve the hard problems like how to: 🔍 Uncover care gaps and predict future risk with deep analysis of patient records 📝 Synthesize rich, pre-visit clinical summaries for our NPs using LLMs over past patient records 📊 Harmonize reporting of engagement and in-home visits for millions of patients across the largest US health plans 🤖 Detect and prevent medical data errors with automated validation and anomaly detection 🏗️ Build Sprinter’s data warehouse from the ground up to unify vast clinical, operational and logistics data If any of these sound interesting, Sprinter could be the right place for you. This is your chance to build something truly 0 to 1 at a company with meteoric growth. Since just 2021, we've grown to: 👥 >50k patients served 🚀 6x revenue growth last year, 5x the year before 🌍 >60% coverage of the US population 🏥 6 of the 10 largest US health plans 🏦 >$70M raised from a16z, General Catalyst, GV, and Accel *If you want to grow faster than you ever could at a big company* , we want to talk to you. If you're a fellow industry veteran looking to get in at the ground floor of something big, taking on radically larger scope and growing with the company, the best way to do so is with real responsibility to make real decisions. As one of the lead engineers at Sprinter, you'll have that while working alongside other engineers and product managers from the likes of Google, Meta, and Amazon. With industry-leading growth to date and plenty of room still to grow, getting in now is a recipe for success. *If you want to make a difference* , we want to talk to you. Jeffrey Hammerbacher was right: "The best minds of my generation are thinking about how to make people click ads. That sucks." I've done the Google and Facebook thing for a decade. Was it personally rewarding? Absolutely. But now I want to do something more directly for others, which is why I started this company. If any of this sounds like something you'd want to be a part of, just let me know. I'd really love to chat. Cameron, Co-founder / CTO Software Engineering & Data Integration Full-stack experience, backend-focused. Proficiency in Python or JavaScript/TypeScript (Preferred). Third-party data integration: Normalization, standardization, and harmonization of inbound data; outbound translation to customer-specific formats. Data Systems & Databases Experience with BigQuery, DBT, Airflow, AWS Glue, or similar ETL/ELT tools. Scalable & high-performance data systems: Designing, building, and optimizing data architecture, queries, pipelines, and integrations. Observability: Monitoring & alerting best practices. Database expertise: Relational, key-value, columnar, document, vector, inverted index, and in-memory databases. Data warehouse schema design (Nice to have). Healthcare Data Administrative: Claims processing OR Clinical: EHR data, FHIR, HL7, C-CDA standards. Technical Leadership & People Management Technical leadership: Successfully led technical team project implementations. Mentorship & coaching: Ability to guide and develop engineers. Work delegation & execution: Breaking down and distributing tasks effectively. People management experience (Nice to have). Technologies ETL/ELT: AWS Glue, Airflow, or similar tools. Datastores: BigQuery, ELK Stack, DynamoDB, other data warehousing tech. Data exchange/integration: Mirth Connect or similar tools. The Fun Stuff™ Free lunch every day and fully-stocked micro-kitchen and coffee/tea bar Team offsites, game hours, tech talks, and design sprints Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid) Dental / vision/wellness benefits 401k matching Unlimited PTO Flexible work-from-home policy for work/life balance (3 days in-office, accommodation for occasional WFH days) Relocation assistance Generous parental leave (4 months for the birthing parent, 2 months for a partner, 100% paid) Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include equity or benefits. This is a hybrid role with a 3-day-a-week in-office requirement in Menlo Park, California. While we are flexible with occasional work from home, we've built an incredible group of people who enjoy the team environment we've created, and our engineering, product, and design organizations are all currently co-located in the Bay Area. If you are inspired by our mission and think you could have an impact on us achieving it, but currently sit outside of these role expectations, we encourage you to still get in touch.

Who we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. What we're looking for We’re looking for an experienced Senior Engineer to join our Operational Data Store (ODS) team that delivers the services that provide the data to applications. The ideal candidate will be excited to take on the challenge of processing, storing and delivering the entire health records of millions of patients, providing low latency and high-availability for all operations. You are creative, innovative and love to run experiments to explore the paths to evolve and develop our platform as we scale. The ODS team is at the heart of everything at Zus. You will work on data services that operate on large scale data using a variety of AWS services (Fargate, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice and the team is responsible for deploying, maintaining, and operating its pipelines and services. As part of our team, you will Build and operate data services driving our applications and APIs Collaborate with team members and across Engineering to iteratively prototype and develop new functionality Provide technical leadership, contributing to the architecture and design of the teams systems Coach others to become better engineers Partner with product managers and other Zusers You're a good fit because Are scrappy and you move fast Have experience with operationally stable and cost efficient data services Enjoy owning your work and seeing it deploy safely in production Are jazzed to build backend services in Go Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation) Are excited to ~ finally! ~ enable a true digital revolution in healthcare Thrive amid the changing landscape of a growing and evolving startup Enjoy collaboration and solving unique problems Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally It would be awesome if you were Experienced in building and running large-scale systems in the cloud using Go Experienced in AWS DynamoDB Knowledgeable about application security Experienced in working with healthcare data and APIs Familiar with the FHIR and/or TEFCA standards We will consider remote applicants located outside the Boston metro who are excited to collaborate in person occasionally. This role will require some travel for in person meetings a few times per year. We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity • Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO • Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

Company Profile Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income, and alternative offerings. We manage approximately $65bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate. GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results. Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO. Position Overview We are looking for a Research Data Analyst to join a high performing team focused on building and maintaining research databases used in a state-of-the-art quantitative investment process. The Analyst will be responsible for resolving data quality issues, building new data quality controls, onboarding new datasets, creating documentation, and making data access more transparent. This position offers a unique opportunity to leverage one’s experience and have an impact on how data is used in the research and investment process. An ideal candidate should have strong knowledge of financial data used in multi-asset class quantitative investing and have a keen interest to think about and solve data quality issues and be adept at using various tools and technologies at their disposal to execute the job. Key Responsibilities Monitor incoming data to detect anomalies and remediate issues Investigate and resolve data quality questions and concerns Develop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficiently Become a “subject matter expert” in a variety of data categories (reference, market, fundamental, estimate, macro-economic, et al) across various asset classes including equity and fixed income Develop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processes Partner with investment teams to proactively address their data needs Design and build efficient and effective controls to help resolve and identify potential data issues Coordinate with the data engineering team to identify ways to improve our data and monitoring processes Work with external market data vendors to bring in new data sources required by business users and support existing feeds Create documentation to support data processing and exploration Contribute to a rotational “on call” program to facilitate the overnight processing of data Requirements Bachelor’s degree, preferably in economics, statistics, computer science, math or information systems 5+ years of experience working with financial data at an asset management company or financial data provider Experience orchestrating data pipelines and processes using Apache Airflow Proficient using Python and SQL to maintain data quality and automate data workflows Experience modeling data based on vendor methodologies and internal use Experience building data quality controls and resolving data issues Proven ability to visualize data using modern data analysis techniques Strong attention to detail Strong communication skills High energy and positive attitude – candidate should be conscientious, self-directed and possess a strong work ethic Passionate about a data focused career path Strong interest in databases and database technologies Plus: Understanding of LLMs and Generative AI – Ability to evaluate and apply large language models for tasks such as data summarization, anomaly detection, or intelligent alerting. Prompt Engineering – Skill in crafting effective prompts to extract insights, automate documentation, and enhance data workflows using AI tools. Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark Experience with Data Governance toolsets Interest in, or experience with, Machine Learning for Anomaly Detection This salary range is estimated for this role and actual pay may be different based on a candidate’s qualifications and/or years of experience. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits. GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

PlayOn is seeking a Business Data Analyst to provide optimized reporting and workflows, sustained data integrity, and routine analytical support to several departments, including the Finance, People, and Legal teams, through the growth-stage of PlayOn. Reporting to the Data Engineering team, you will collaborate across several teams and data functions to ensure that we are making data-driven decisions for the organization. You understand that sensitive people, financial, and legal data must be treated with the highest level of care and thoughtfulness, and always seek to steward the organization’s data in a way that prioritizes both usability but most importantly, confidentiality. The Outcomes You’ll Deliver: Improved Employee Engagement & Productivity: -Analyze employee survey and productivity data. -Identify trends linking engagement and performance. -Recommend initiatives to enhance employee satisfaction and productivity. Enhanced Budget Management: -Deliver data-driven budget variance analyses. -Identify cost-saving opportunities and spending inefficiencies. -Improve budget forecasting accuracy. ROI on People Investments: -Quantify the financial impact of training, benefits, or employee initiatives. -Justify HR programs through clear financial outcomes. IN THIS ROLE YOU CAN EXPECT TO... Act with Discretion and Integrity : Manage sensitive people, legal, and financial data with the utmost confidentiality and professionalism, ensuring trust and compliance with data privacy standards. Perform Data Analysis: Clean, transform, and manipulate large datasets to extract meaningful insights from qualitative and quantitative data leveragingExcel and Snowflake. Create reports, dashboards, and visualizations that are impactful for decisionmakers in G&A functions. Collaborate and Present : Act as the finance, accounting, and people data expert to partner with each team to form and maintain best in class data usage. Take ownership of and accountability for data initiatives and the streamlining of data use processes. Present data-driven insights to a variety of stakeholders in a clear and understandable manner. Embody Resilience and Adaptability : Navigate ambiguity while maintaining data integrity. Work through and understand nuances in underlying data sets. Assume a strong sense of ownership and accountability with a willingness to roll-up sleeves. TO THRIVE IN THIS ROLE, THESE ARE THE TALENTS YOU BRING ... Strong ethical compass of handling sensitive data professionally. 3-5 years of professional experience in data analysis, preferably within business functions of a growth-stage organization. Proficiency in data analysis tools such as Excel and SQL. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and collaboratively across differentteams. Attention to detail and a commitment to data accuracy. Knowledge of and passion for data governance and compliance. Preferred experience working within HRIS systems or financial software. HOW YOU PLAY Ownership over Participation- You take responsibility for achieving holistic outcomes, prioritize key objectives, and adapt quickly when situations require a different approach. You follow through even against the toughest challenges. Team over Stars- You are a bridge builder, establishing processes and relationships with teams outside your own. You work to rally around common goals, find win-win solutions, compromise when necessary, and help others succeed. Growth over Comfort- You are driven by a desire to grow and actively seek opportunities to expand your comfort zone, skills, and confidence. You embrace new challenges with curiosity, accepting discomfort and failure as opportunities to learn. Fairness over Popularity- You approach decisions with a scientist’s mindset, challenging your assumptions and remaining objective. You consider long-term impact rather than relying on short-term gains, proactively seek others’ perspectives, and manage emotions in decision-making. Company Overview PlayOn is a dynamic growth-stage company dedicated to championing the spirit of play in the high school space. Backed by KKR, our family of brands—including GoFan, NFHS Network, and MaxPreps—empowers schools with innovative solutions and exceptional service. Our fan engagement platform is the only one that offers event ticketing, streaming, fundraising, concessions, merchandise sales, and website management in one place. We save administrators time so they can focus on what truly matters: supporting the students, staff, and fans who bring their programs to life. Trusted by thousands of schools across the country, we're here to help create more instant replays, hold-your-breath moments, last-minute comebacks, and games you want to watch over and over again. When being there means everything, we make sure you never miss a moment. Why you’ll love working at PlayOn Product, potential, and people. We’re a leader in the high school event space, constantly evolving our product to meet the needs of administrators. We focus on solving real challenges, learning quickly, and creating impactful solutions. This is a growth-stage company, meaning your contributions have real impact. You’ll have opportunities to grow your skills, tackle meaningful problems, and make a difference in the lives of schools and the students and fans they serve. Our culture is built on accountability, collaboration, growth, and fairness. We don’t just show up—we show up for each other. Everyone wears the same jersey, and we play hard, make the extra pass, and cheer one another on. Losses teach us, challenges motivate us, and persistence drives us forward. We value integrity over shortcuts, choosing to do what’s right even when it’s hard. Together, we strive to be better every day—because we know that’s how we win as a team. The Benefits We Offer Multiple medical insurance plans to choose from Dental, vision life and disability insurance Employee Emergency Fund Company equity (stock options) Open PTO policy 401K plan with company match Hybrid/flexible work environment Note: Must be a full-time employee to participate in the company’s employee health benefit plan. Part-time employees and interns are not eligible to participate.

About Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Data Infrastructure team is the grounding heartbeat to all of this. We live and breathe databases, building cornerstone infrastructure by working under Hudi's hood to solving incredibly complex optimization and systems problems. The Impact You Will Drive: As a foundational member of the Data Infrastructure team, you will productionize the next generation of our data tech stack by building the software and data features that actually process all of the data we ingest. Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads. Act as a SME to deepen our teams' expertise on database internals, query engines, storage and/or stream processing. A Typical Day: Design new concurrency control and transactional capabilities that maximize throughput for competing writers. Design and implement new indexing schemes, specifically optimized for incremental data processing and analytical query performance. Design systems that help scale and streamline metadata and data access from different query/compute engines. Solve hard optimization problems to improve the efficiency (increase performance and lower cost) of distributed data processing algorithms over a Kubernetes cluster. Leverage data from existing systems to find inefficiencies, and quickly build and validate prototypes. Collaborate with other engineers to implement and deploy, safely rollout the optimized solutions in production. What You Bring to the Table: Strong, object-oriented design and coding skills (Java and/or C/C++ preferably on a UNIX or Linux platform). Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases. You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions. An ability to prioritize across feature development and tech debt with urgency and speed. An ability to solve complex programming/optimization problems. An ability to quickly prototype optimization solutions and analyze large/complex data. Robust and clear communication skills. Nice to haves (but not required): Experience working with database systems, Query Engines or Spark codebases. Experience in optimization mathematics (linear programming, nonlinear optimization). Existing publications of optimizing large-scale data systems in top-tier distributed system conferences. PhD degree with 2+ years industry experience in solving and delivering high-impact optimization projects. How We'll Take Care of You - Competitive Compensation; the estimated base salary range for this role is $215k - $250,000 -Equity Compensation; our success is your success with eligible participation in our company equity plan - Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits - Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan - Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business - Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays - Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ - Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks - Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup - Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House Values One Team Optimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better Always Rome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act Fast We have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer Obsessed Everyone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above.

About Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. Who Are You? You are a seasoned technology professional with a robust technical background and proven experience in leading and managing teams. As a Tech Lead Manager, you are not only technically proficient but also adept at project management and people management. You are someone who thrives in a player-coach role, seamlessly transitioning between hands-on technical work and strategic leadership responsibilities. The Impact You Will Drive: As an engineering leader in the Data Infrastructure team, you will create the vision for and enable the team to build and productionize the next generation of our data tech stack. Balance a mix of people management and technical hands-on work, with an eye towards building for the long term by setting a high bar for technical design, code quality and developing our engineers into high performing, technical leaders that are skilled and excited to build the next generation data stack. Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads. A Typical Day: Oversee the execution of projects related to data infrastructure development, ensuring they are delivered on time, within budget, and meet quality standards. Work closely with architects, product managers and cross-functional teams to prioritize initiatives and turn requirements into executable tasks. Develop team governance and rituals, establish and run regular meetings to drive consensus and execution with our core India team. Mentor junior engineers on the team by providing technical guidance and support to the team and facilitate technical discussions and decision-making processes. Outstanding ownership of not only the area of your team, but in multiple functional areas such as data compute engines, distributed systems, and data storage systems. Writing code, review pull requests, provide constructive feedback, and maintain high code quality standards, leading by example as an engineer at heart. Maintain a deep understanding of data engineering principles, best practices, and emerging technologies to drive engineering initiatives that result in an elevated customer experience. Actively participate in technical design discussions and ensure that the team is making the most effective decisions. Hire and develop the best talent possible. Be responsible for the growth and development of the team. Work cross-functionally with product management leadership to drive said vision. What You Bring to the Table: Technical Expertise: You’ve 8-10+ years of software engineering experience in Java, 5+ years working on data systems and possess deep technical knowledge and skills, staying current with the latest technologies, frameworks, and best practices. Your coding skills are sharp, and you are capable of tackling complex technical challenges head-on. Leadership Skills: You’ve 4+ years of experience leading teams building data systems, have a track record of successfully leading and mentoring teams. You understand how to motivate and develop your team members, fostering a collaborative and high-performance work environment. Project Management: You excel in project management, with the ability to plan, execute, and deliver projects on time and within budget. Your organizational skills and attention to detail ensure that nothing falls through the cracks. Communication: You are an effective communicator, capable of conveying technical concepts to non-technical stakeholders and ensuring that your team is aligned with the company’s vision and goals. Problem Solver: You are a strategic thinker and a problem solver, always looking for ways to improve processes and outcomes. Your analytical mindset helps you navigate complex issues and find innovative solutions. How We'll Take Care of You - Competitive Compensation; the estimated base salary range for this role is $240,000 - $270,000 -Equity Compensation; our success is your success with eligible participation in our company equity plan - Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits - Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan - Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business - Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays - Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ - Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks - Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup - Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House Values One Team Optimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better Always Rome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act Fast We have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer Obsessed Everyone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above.

Trilogy Federal provides financial management, information technology (IT) consulting, program management services, and strategic consulting to federal agencies. Trilogy has an extensive history helping federal clients achieve their most ambitious business modernization and optimization goals with the ability to deliver targeted subject matter expertise and full life cycle support. Trilogy Federal is seeking a Data Migration Specialist to support the Department of Veterans Affairs (VA). The ideal candidate will be a detail-oriented technical expert with specialized skills in data migration and enterprise asset management, thriving in a fast-paced, client-focused environment. This role requires a collaborative, problem-solving professional to join our team, ensuring the successful transfer and integration of data into VA corporate IT systems, including legacy applications and modernized environments leveraging IBM Maximo. The selected Data Migration Specialist must hold an active Certified Maximo Deployment Professional certification and bring expertise in migrating data to support VA’s operational needs and the Veteran-focused Integration Process (VIP) Lean-Agile framework. This position will focus on ensuring data integrity, security, and accessibility during migrations, delivering high-quality outcomes for VA stakeholders. Please note this position is contingent upon award (Q2/Q3 2025), and may require occasional customer site visits in D.C. Primary Responsibilities: Plan, execute, and validate data migrations for VA corporate IT systems, transferring data from legacy systems to IBM Maximo and other modern platforms (e.g., AWS, Azure, SQL Server). Configure and customize IBM Maximo deployments to support data migration, ensuring alignment with VA’s enterprise asset management and operational requirements. Develop and implement data migration strategies, including mapping, transformation, cleansing, and validation processes to maintain data integrity and quality. Collaborate with Data Architects, Cloud Engineers, and DevOps teams to integrate migrated data into Continuous Integration/Continuous Delivery (CI/CD) workflows and Agile delivery cycles. Ensure compliance with VA security and privacy standards (e.g., FISMA, NIST 800-53, HIPAA), applying encryption, access controls, and auditing during data migration activities. Utilize VA-approved tools (e.g., Jira, GitHub, ServiceNow) to document migration plans, track progress, and contribute to Biweekly Status Reports on data migration status and issues. Perform data profiling, testing, and reconciliation post-migration, resolving discrepancies and ensuring seamless functionality for VA end-users and systems. Support the VIP Lean-Agile framework by aligning data migration efforts with sprint goals and delivering incremental value during Agile ceremonies (e.g., sprint planning, reviews). Troubleshoot and resolve data migration challenges, minimizing downtime and ensuring continuity of VA corporate services during transitions. Work with VA stakeholders, including the Contracting Officer’s Representative (COR), to define migration requirements, validate outcomes, and deliver Veteran-centric solutions. Mentor team members on Maximo data migration techniques and best practices, contributing to Trilogy’s staff development and technical expertise initiatives. Assess and mitigate risks related to data migration, ensuring adaptability to evolving VA priorities and technical standards. Minimum Requirements: Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field. Certified Maximo Deployment Professional certification required. 8+ years of experience in data migration, database management, or a related role, with a focus on federal or VA IT environments. Proven expertise in migrating data to IBM Maximo and other enterprise systems, with hands-on experience in SQL, ETL tools (e.g., Talend, Informatica), and cloud platforms. Strong analytical and problem-solving skills, with the ability to ensure data accuracy, security, and performance in a dynamic, fast-paced environment. Familiarity with VA security standards (e.g., FISMA, NIST, HIPAA) and the VIP Lean-Agile framework is highly desirable. Proficiency in MS Office Applications (Word, Excel, PowerPoint, Visio, SharePoint) and VA-approved tools (e.g., Jira, GitHub, ServiceNow). Ability to adapt to evolving technical requirements and travel occasionally to VA sites in Washington, D.C., as needed. Ability to obtain a Public Trust Clearance Preferred Qualifications: Master’s preferred Additional certifications such as AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate, or SAFe Agilist preferred. Benefits (including but not limited to): Health, dental, and vision plans Optional FSA Paid parental leave Safe Harbor 401(k) with employer contributions 100% vested from day 1 Paid time off and 11 paid holidays No cost group term life/AD&D plan, and optional supplemental coverage Pet insurance Monthly phone and internet stipend Tuition and training reimbursement This range is not a guarantee of compensation or salary, as Trilogy Federal conducts an individual equity review for every candidate based on experience, location, education, industry experience, and comparisons to internal pay bands. In addition to salary, Trilogy offers robust benefits including medical/dental/vision insurance coverage, 401(k) match, paid holidays, paid time off, tuition reimbursement, and a very supportive work/life balance. Regarding remote positions, Trilogy Federal is able to offer virtual employment in the following states: Colorado, Connecticut, D.C., Florida, Georgia, Illinois, Maryland, New York, South Carolina, Texas, and Virginia. Trilogy Federal is an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Are you a software engineer who thrives on building scalable, reliable systems for a modern cloud platform? Do you enjoy designing high-performance pipelines that empower analytics and real-time insights across distributed systems? Are you excited to mentor other engineers while developing core data infrastructure that drives business decisions? If so, we invite you to be a part of our innovative team. Ridgeline is looking for a Senior Software Engineer to join our Data Delivery Squad, a critical group within the Data Engineering organization. In this role, you’ll be responsible for architecting and optimizing robust, scalable data pipelines and systems that deliver clean, timely, and trusted data. You’ll partner cross-functionally to empower internal and external stakeholders with seamless data access—enabling reporting, analytics, and product development across the platform. You’ll be leveraging cutting-edge technologies, including an AI-first approach using tools like GitHub Copilot and ChatGPT, to accelerate development and drive innovation. What will you do? Design and build scalable, reliable, high-performance data pipelines that ingest, transform, and deliver data across Ridgeline’s platform Develop and maintain data APIs, SDKs, and services to support internal development teams and external clients Ensure data quality and integrity by implementing robust testing, validation, and monitoring processes Collaborate with product managers and cross-functional software engineering teams to deliver impactful, data-driven solutions Optimize storage, processing, and retrieval mechanisms for performance, scalability, and cost efficiency Implement best practices for CI/CD, observability, and security in all data engineering workflows Mentor junior engineers and provide technical leadership to foster a culture of continuous learning and innovation Desired Skills and Experience 5+ years of experience in software engineering with a strong focus on data engineering and distributed systems Proficient in Python, Kotlin, or Java Advanced knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, Aurora) Deep experience in designing and maintaining data pipelines, data models, and ETL/ELT workflows Familiarity with big data tools such as Kafka, Spark, or Flink Experience working with cloud platforms (preferably AWS) Hands-on with containerization and orchestration tools like Docker and Kubernetes Excellent communication and collaboration skills Strong analytical problem-solving abilities with a bias for action Ability to take ownership and lead initiatives independently while mentoring others Bonus: Experience in the financial services or investment management industry Knowledge of event-driven architectures and real-time data processing Familiarity with Change Data Capture (CDC) tools such as Debezium and Kafka Connect Background in building developer platforms or SDKs Understanding of multi-tenant architecture and scalable cloud infrastructure About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry.  Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a “Best Workplace for Innovators,” by The Software Report as a “Top 100 Software Company,” and by Forbes as one of “America’s Best Startup Employers.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement . Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits  [For New York and California Based Only] The typical starting salary range for new hires in this role is $140,000-$165,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.  As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.   #LI-Hybrid

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description We are looking for a Data Engineer who specializes in managing and optimizing data pipelines, with a specific focus on AI/ML data and applications. The ideal candidate will have experience in designing and implementing data infrastructure, ensuring high-quality labeled datasets, and collaborating with cross-functional teams to support our computer vision initiatives. Responsibilities  Manage data releases, tracking data provenance, evaluating data quality, providing data insight reporting. Contribute to  scalable data and labeling pipelines for computer vision projects. Manage and optimize data storage solutions to ensure efficient data retrieval and processing. Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to project timelines. Collaborate with machine learning engineers and other data/infrastructure engineers to understand data requirements and ensure the availability of high-quality labeled datasets. Stretch: Develop and maintain tools and processes for data labeling, including annotation workflows, quality control, and validation procedure. Requirements Bachelor’s in Computer Science, Data Engineering, and 2+ years of experience in a related field. Strong Python and SQL; Good software development fundamentals a must. Experience as a Data Engineer, working with data pipelines.  Proficiency with: Data modeling ETL processes and data pipeline operations  OLTP databases (e.g. Postgresql) OLAP databases (e.g. ClickHouse) Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work effectively in a collaborative team environment. Strong Plus Experience with evaluation of ML models. Experience developing evaluation frameworks.  Nice to have Bonus points for experience with: Data pipelines for computer vision applications. Data labeling. Workflow orchestration tools, particularly Dagster. Distributed computing frameworks (Apache Spark, Dask). Containerization technologies (e.g. Docker). Job scheduling systems (e.g. Slurm). Compensation: The estimated salary range for this position is $124,227 to $157,001 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more. Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.  Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements All job offers at Acubed are contingent upon the candidate passing references, background and export control checks. * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.  

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description As Wayfinder's Senior AI Engineer (Computer Vision, Data Quality), you will be pivotal in driving the performance of our AI systems, reporting to the Manager of AI Algorithms. You will take ownership of critical data pipelines, spearheading efforts to enhance data quality, understanding, and efficiency, including the development and implementation of advanced auto-labeling solutions. You will quickly prototype new projects, and take the promising ones to production. Role Responsibilities Analyze and improve data quality and distribution for vision-based flight ML models, identifying and mitigating biases and gaps, specifically addressing challenges related to image data. Implement data mining and active learning strategies to curate high-quality computer vision datasets and optimize labeling efforts and training efficiency. Conduct rigorous evaluations of data and labeling quality, assessing effectiveness, efficiency of training and accuracy and coverage of testing. Develop and deploy automated data labeling pipelines including using foundation models (VLMs), big ML models, and traditional Computer Vision, ensuring accuracy and scalability. Develop  metrics, visualization, and validation to improve data pipelines. Write high quality, product level code that is easy to maintain and test following standard methodologies. Collaborate with multiple teams (Data/Labeling, Validation), and ML teams in the global Airbus Organization. Qualifications Master's degree (or equivalent industry experience) in computer science or a related discipline and 7 or more years of relevant experience  5+ years of industry experience working as a CV/ML perception software engineer in the field of autonomous vehicles, robotics, or related fields Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) Experience in data auto labeling and active learning pipelines  for production Extensive experience in Python Good communication skills Good To Have Passion for aviation and autonomous systems Experience with LLM/VLM, OpenVocabulary Vision models, RL, and other emerging ML technologies Experience with data pipelines and visualization of embeddings, similarity/uniqueness, natural language search Compensation: The estimated salary range for this position is $156,000 to $195,000 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more.  Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year. Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements All job offers at Acubed are contingent upon the candidate passing references, background and export control checks. * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

We are looking for a freelance Data Strategy Director to support a key creative and media client here at Deutsch. WHAT YOU’D DO Work closely with media planning, paid social, social strategy, and content strategy teams to define KPIs and key metrics to develop measurement plans and test & learn plans Interpret and analyze marketing data from a variety of sources: paid media campaigns, site analytics, social listening, etc.. Partner with cross-functional teams to define business questions, identify data sources, interpret trends and patterns in data to drive marketing strategies Provide internal and external teams with deep and actionable audience, creative and platform insights Translate data analyses into clear and understandable conclusions and recommendations for non-technical stakeholders Present analysis and reports to clients and internal stake holders Work daily with: Excel, PowerPoint, social media platforms, web analytics, python-based reporting framework etc.,     WHAT YOU’VE GOT 8+ years experience in marketing analytics, media analytics, or consulting preferred 2+ years of proven managerial or supervisory experience of a data analytics team Strong understanding of digital & social marketing, web analytics, and business analysis Strong analytics skills, enjoys numbers and using data to solve business problems Strong communication and presentation skills: written, verbal and in PowerPoint presentations Experience with reporting and data visualization tools (e.g. Tableau, Google Data Studio) Experience with social and web analytics for both reporting and tag/pixel implementation: Google Analytics, Adobe Analytics, Google/Adobe Tag manager, social audience insights, etc. Experience with analytical programming languages: Python preferred (pandas/anaconda), R, SPSS, SAS as well as Git for source control Experience with social listening and social media management tools; Crimson Hexagon, Sprinklr, etc.   WHAT WE’VE GOT (that you can’t find out on the internet) We’re nice people.  Seriously.  Some of the most ego-less and collaborative people you’ll find in this business. We don’t work in silos. We thrive on collaboration, both internally and externally. We’re always looking to learn. From our peers, from the competitors, and from our clients, we’re always looking for what’s coming next. The hourly rate for this New York based position is $90.00-$100.00. Approx. 20 hrs/week.   WHAT WE’VE GOT (that you can’t find out on the internet): We’re nice people. Seriously. Some of the most ego-less and collaborative people you’ll find in this business. We don’t work in silos. We thrive on collaboration, both internally and externally. We’re always looking to learn. From our peers, from the competitors, and from our clients, we’re always looking for what’s coming next. We take our work seriously but believe weekends, vacations and thinking space outside the office make you  better at your job, not worse. Base salary range for this role:  *If you are a California resident, your application submission is subject to the  California Privacy Notice Deutsch is an equal opportunity employer.  All qualified applicants will receive consideration for the position without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description We are looking for an experienced Staff Software Engineer, ML Data to play a leading role in taking Acubed’s excellent data pipelines and analytics to the next level. The ideal candidate has deep technical expertise and demonstrated leadership in all aspects of data and software engineering for novel ML applications.  In this very hands-on role, you will work closely with senior members of our data, labelling, and ML teams to help Acubed deliver world-class data operations and infrastructure, maximizing  performance, robustness, and adaptability. In this lean, fast-paced environment, you will help to deliver on a steady stream of new ML-based applications while improving our processes and systems steadily along the way. Responsibilities  Provide technical leadership across a significant portion of the data function, which encompasses all data operations that surround and support the ML model development function, from ingestion to evaluation. Develop and Implement machine learning-based labeling techniques to enhance data labeling accuracy. Help design and implement data pipelines that support the ingestion, cleaning, labeling, and analysis of high-quality datasets at scale. Partner with cross-functional teams (including software engineering, tooling, flight test, simulation, data engineering, and ML) to address bottlenecks in data availability, focus data collection methods, and ensure comprehensive data coverage. Identify and address gaps in data coverage, ensuring consistent data flows that support robust ML model performance by “closing the loop” from model development to testing to data collection and creation. Develop and implement actionable metrics to continuously evaluate and improve data quality and availability. Work closely with data scientists and machine learning engineers to refine and curate datasets, with a focus on improving the accuracy and robustness of predictions. Work with sensor data, especially still images, and have a working knowledge of embeddings and vector databases to improve machine learning model inputs. Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 11+ years of experience or equivalent in a software/data engineering leadership role. Experience with machine learning-based labeling techniques.  Deep expertise in developing data pipelines for ML. Strong Python data skills.  Experience with all major types of databases and when to use them: relational/OLTP, analytical/OLAP, vector, document/NoSQL, time series.  Experience developing  data quality metrics and dashboards that drive actionable insights. Demonstrated active interest in use of AI for development. Demonstrated team player who values psychological safety, trust, humility, and a learning mindset. Bonus points for: Computer vision experience. Experience in safety-critical development, preferably in aviation. Familiarity with embedding techniques for different data modalities, including sensor and image dat. Compensation: The estimated salary range for this position is $194,008 to $249,082 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more. Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.  Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role. All job offers at Acubed are contingent upon the candidate passing references, background and export control checks.

About Clear Street: Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.  We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.  By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets. The Team:  The FACT team is responsible for several key data products which enable Clear Street’s systems and personnel to operate with confidence and speed. These products include security and pricing master, corporate actions, and streaming market data as well as a number of other key reference datasets. The FACT team takes on the task of collecting inputs from various sources including vendors, public sources, and internal teams and organizing them into cohesive data products which serve as the authoritative source of reference data within the firm. The Role:  We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for various asset classes such as equities, options, futures, and more. You will play a key role in designing, developing, and optimizing data pipelines that handle large volumes of data with low latency and high throughput, ensuring that our systems can process and deliver market data in real time. As a Software Engineer in the FACT team, you will work closely with high-impact teams to design and implement cutting-edge solutions that support our trading, analytics, and financial data products. You will play a key role in the design and implementation of key components that support Clear Street’s continued expansion into global markets. The ideal candidate will have a strong background in building low-latency, high-throughput systems, as well as a deep understanding of financial market data structures and processes. Knowledge or direct experience working with market data feed handlers from exchanges is a significant advantage. Key Responsibilities: Design, develop, and maintain real-time data pipelines to handle financial market data with low latency and high throughput in a resilient manner. Work with various asset classes such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing. Collaborate with product, trading, and risk teams to understand requirements and deliver high-quality solutions that meet business needs. Develop efficient mechanisms for integrating market data feeds from exchanges and other sources into our systems. Troubleshoot and resolve performance issues, data discrepancies, and ensure data integrity across the pipeline. Continuously monitor the performance and health of data pipelines, identifying and mitigating potential issues before they impact system performance. Requirements: You have 5+ years of professional experience implementing low-latency, high-throughput data pipelines Solid understanding of distributed systems and the challenges involved in real-time data pipelines (e.g., data consistency, fault tolerance, scalability). Familiarity with financial market data, including security prices, and asset classes like equities, options, futures, etc. Strong familiarity with Linux/BSD Familiarity with TCP/IP and UDP (Unicast/Multicast) networking You communicate technical ideas with ease and always look to collaborate to deliver high quality products. You are a team player, with experience working effectively with other engineers toward common goals Nice To Haves: Experience with system profiling with eBPF Experience with columnar storage and database systems  Kernel bypass networking (DPDK or XDP) Provisioning and configuration of routing in the cloud or on-premise, including BGP, VPCs, network peering Experience with Aeron   FACT Team Stack: C++, Rust, Go, Java, Python, gRPC, PostgreSQL, Snowflake, Kafka, Kubernetes We offer : The opportunity to join a small and growing team of good people, where you can make a difference. A new, high-quality code base with little technical debt and room to build new services and features. An environment that embraces the utility of a DevOps oriented culture and combines it with a focus on CI/CD methodology. A meritocratic philosophy that champions collaboration. Competitive compensation, benefits, and perks. We are considering Senior or Staff-level candidates for this role. The Mid Level Base Salary Range is $140,000 - $190,000. The Senior Level Base Salary Range is $170,000 - $240,000. These ranges are representative of the starting base salaries for this role at Clear Street. Which range a candidate fits into and where a candidate falls in the range will be based on job related factors such as relevant experience, skills, and location. These ranges represent Base Salary only, which is just one element of Clear Street's total compensation. The ranges stated do not include other factors of total compensation such as bonuses or equity. At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, beginning on January 2, 2023, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views. Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.

Location: Buford, GA Job Type: Full-time Job Description Responsibilities: Strictly follow the requirements of the management system, and input data into the computer system for receiving, sending and returning data every day; all accounts must be settled daily. Responsible for the transmission and classification of various documents and reports. Provide inventory information in a timely and accurate manner. Implement warehouse-related SOPs in material management to ensure the smooth flow of warehouse operations. Responsible for the acceptance, storage, inventory, and reconciliation of daily materials in the warehouse. Responsible for the storage and archiving of relevant documents. Provide warehouse data statistics, archiving, accounting and system data input. Other tasks assigned by the department head. Qualifications： Bachelor’s Degree or above; Proficient in the use of office software, familiar with WMS system is preferred; Bilingual proficiency in Chinese Mandarin and English; Extreme attention to details, teamwork oriented, strong sense of responsibility; Ability to work in a fast-paced environment with multiple priorities and tight deadlines.    About JD.com JD.com is China’s largest online retailer and its biggest overall retailer, as well as the country’s biggest Internet company by revenue. JD.com sets the standard for online shopping through its commitment to quality, authenticity, and its vast product offering covering everything from fresh food and apparel to electronics and cosmetics. Its unrivalled nationwide fulfillment network provides standard same- and next-day delivery covering a population of more than 1 billion - a level of service and speed that is unmatched globally. As a technology-driven company, JD.com builds reliable and scalable platforms that bring value to partners and customers in sectors such as e-commerce, logistics, Internet finance, cloud computing and smart technology.   About JD Logistics JD Logistics, a business group under JD.com, which leverages the company’s advanced technology and logistics expertise to provide smart supply chain and logistics services to businesses across a wide range of industries. JD.com has one of the largest fulfillment infrastructure of any e-commerce company in the world. JD.com is the only e-commerce platform in the world to provide small-to-medium sized warehousing, oversized warehousing, cross border, cold chain delivery, frozen and chilled warehousing facilities, B2B and crowdsourcing logistics. We believe technology innovation can drive smart logistics. JD built the world’s first fully-automated warehouse in Shanghai, and we are currently developing our own drones delivery and automatic delivery robots.   JD.com is an Equal Opportunity Employer. We do not discriminate in our employment decisions on the basis of race, sex, sexual orientation, gender, color, religion, age, genetic information, medical condition, disability, marital status, citizenship or national origin, and military membership or veteran status, or on any other basis which would be in violation of any applicable federal, state or local law.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.  Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age’s Data & Insights Agency of the year for the second year in a row . Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: We seek a skilled Data Engineer to join our data team and drive the development and maintenance of robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. This role is critical in ensuring our organization has a reliable, scalable, and efficient data infrastructure to support data-driven decision making across marketing and business operations. WHAT YOU’LL DO Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues Support automated reporting solutions using Python Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes Ensure data warehouse scalability, performance optimization, and cost efficiency Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks WHO YOU ARE AND WHAT YOU HAVE 2-5 years of experience in data engineering or related roles Highly proficient with Python, SqlAlchemy, Alembic, Pytest,  Experience with SQL and relational databases such as Postgres Experience with database design and optimization Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.) Experience with deploying data pipelines in Python Experience with Git, GitHub, or other version control tools USEFUL EXPERIENCE Experience with containerized architecture (Docker, Kubernetes, Argo Workflows) Experience with DevOps practices and CI/CD (GitHub Actions) Experience with data warehouses (Snowflake) Experience with cloud infrastructure (AWS) Experience with data visualization tools (Marketing Cloud Intelligence) Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K - $135K.             This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

At Citymapper (powered by Via), we’re on a mission to help make complex cities more accessible to everyday users. Our application transports millions of people in hundreds of cities around the world by giving them access to the most current and sophisticated transportation options available. We make getting around your favourite city easy, so that you can enjoy the ride. As a Transit Data Team Lead  at Citymapper, you will be responsible for the data and the team that is the backbone of our application’s success. You’ll lead a team of highly skilled and motivated Data Analysts who form the foundation of Citymapper’s exceptional data quality. Millions of users around the world trust our application to be on time for work, a job interview, or a date - and we take great responsibility in fulfilling that need. What You'll Do: You’ll lead a team of highly skilled and motivated Data Analysts, the driving force behind Citymapper’s exceptional data quality. You will work with our Product Manager to build for scale by improving tools and automating tasks, ensuring the highest data quality for all regions You will develop and evolve new ways of measuring and improving data quality, and work with our marketing team on telling that story. You will collaborate with other teams at Citymapper, Remix and Via to facilitate product development and delivery, customer success and retention, and user growth. You will ensure data quality in our web and mobile products so that users continue to love and trust Citymapper. Who You Are: A generalist with at least 4 years of experience to guide you – preferably as a technical/operations manager or team lead in a fast-paced, product-oriented company You have a proven track record of managing teams with exceptional attention to detail and a strong ability to uphold high standards across your team. A leader who builds and motivates high-performing teams through mentorship, clear goal-setting, and fostering a culture of continuous improvement You are comfortable dealing with large datasets and skilled at translating them into actionable insights that drive business decisions You excel at communicating complex technical concepts to both technical and non-technical audiences Fluency in English is a must (other languages considered a huge plus) What Catches Our Eye: While not required, it would be a definite plus: Experience working with Python, and/or common transit data formats (GTFS, TransXChange, Siri, Hafas, etc). A passion for public transportation and cities, and an interest in how public transportation networks operate. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $85,000-$115,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We pioneered the TransitTech category to ensure that the future of transportation is shared, dynamic public mobility — the kind that reduces carbon emissions across congested cities, minimizes reliance on private cars, and provides everyone with accessible, efficient, and affordable ways of getting around.  We created the first end-to-end TransitTech solution for cities and transit agencies, offering world-class software, service design, and operational expertise to fundamentally improve the way the world moves. Via was founded with the guiding principle that we go further when we go together. We are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. All backgrounds, identities, and voices are welcomed and celebrated at Via. Ready to join the ride?  Via is an equal opportunity employer. #LI-RB1

Who We Are Qvest.US is the global leader in technology and business consulting for media, entertainment, consumer packaged goods and retail. We bring our clients closer to their customers, data, and content. With a global footprint across five continents, we have deep expertise across Program Management, Digital Media Supply Chain, IP & Rights Management, Data & Analytics, GenAI/ML, Customer Experience and Salesforce, Content Security, & Media Transformation. Who We're Seeking Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders. What You'll Do Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations Proactively identify risks, issues and provide mitigation strategies Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement What You'll Bring Eagerness to help build and lead a best-in-class data practice 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment Experience with project planning, including tasks, budgeting, resource allocation and balancing 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar Experience designing and building relational database and/or data warehouses Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience A solid understanding of key BI trends and the BI vendor landscape Experience in Media & Entertainment and/or Consumer Products industries Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC) Cloud computing experience, whether with AWS or other vendors Ability to understand/design small-to-medium size data architectures Ability to automate data-related tasks using scripts and programming languages Ability to profile, explore, and analyze data to identify common data patterns Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields Familiarity with dbt ( https://getdbt.com ) Life at Qvest We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest.US is currently 350+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment Opportunity Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Luminar Technologies is a global automotive technology company ushering in a new era of vehicle safety and autonomy. For the past decade, Luminar has built an advanced hardware and software/AI platform to enable its more than 50 industry partners, including the majority of global automotive OEMs. From consumer vehicle programs with Volvo Cars and Mercedes-Benz to technology partnerships including NVIDIA and Mobileye, Luminar is poised to be the first automotive technology company to enable next-generation safety and autonomous capabilities for global production vehicles. For more information, please visit www.luminartech.com. Luminar Technologies is seeking a Senior Data Engineer to contribute to the development efforts of our end-to-end data pipeline and corresponding web applications. Our vision is to make autonomous transportation safe and ubiquitous. Far too many lives are lost in vehicle accidents each year. Because when real people’s lives are at stake, driving safely 99% of the time isn't good enough. We just launched Hydra , and it’s capabilities are unmatched: road tracking out to 80m, lanes to 150m, and objects to 250m. Visit us @ https://www.luminartech.com/ to find out more. Responsibilities Contribute to the development of automotive-grade software for perception and self-driving applications based on Luminar’s industry leading LiDAR platform Implementation of BigData infrastructure and services Quality control of data infrastructure and data service development Automation of data infrastructure Implementation of data transformation and streaming services Manage site reliability of data services Minimum Qualifications B.S. in Computer Science or a related field  4+ years of relevant industry experience Already shipped and operated Big Data systems in production environments Experience in scalability of data systems Experience Cloud services, Cloud deployment and developer operations Hands-on Big Data software and infrastructure development skills Expert knowledge in technologies like Kafka, Kibana/Elastic, Spark, Airflow or Hadoop Hands-on experience of data storage and schemes like Avro, Parquet Very strong coding skills in Java or C++ and Python   Preferred Qualifications Expert knowledge in rational, no-sql and distributed data stores M.S. in Computer Science or a related field  Operational experience with on-prem and cloud data systems Experience with large-scale ingestion architectures Hands-on experience in data streaming technologies Experience in cloud and on-premises data systems Experience with Machine Learning and/or Computer Vision algorithms  Benefits & Perks Location: HQ near Stanford University in the beautiful city of Palo Alto, California Timing: A start-up backed by industry leaders, at a critical stage of growth  Compensation: Competitive salaries and meaningful equity  Benefits: Comprehensive package (medical, dental, vision, and more)  PTO: Take it when you need it, we are a results-oriented team (not just 9-5 job)   Luminar is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, service in the military, or any other characteristic protected by applicable federal, state or local laws. We will make a reasonable accommodation for any qualified applicant with a disability, provided that the individual is otherwise qualified to safely perform the essential functions of the job with or without accommodation and that the accommodation would not impose an undue hardship on the operation of our business. Please let us know if you believe you require reasonable accommodation, or if you would like assistance to complete an application or to participate in an interview at the company. At Luminar, your base pay is one part of your total compensation package. This role pays a base between $148,000 and $195,000* per year. Within this range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. You will also be eligible to receive other benefits including: equity in the form of restricted stock unit awards, comprehensive medical and dental coverage, 401k plan, life and disability benefits, flexible time off , paid parental leave, and tuition reimbursement for formal education related to advancing your career at Luminar. The specific programs and options available to an employee may vary depending on date of hire and schedule type.  

The Business Data Manager is responsible for managing data awareness, analysis, and insights for all Financial Operations Group and Staff Operations Group metrics. This role will partner with each group to understand their initiatives and drive supporting data to measure success and translate complex data into actionable insights. The Business Data Manager will ensure data integrity while empowering the team to develop innovative solutions. This role provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ. At Life.Church, we exist to lead people to become fully devoted followers of Christ. It’s been our mission since 1996 and has guided us every day. Leading people isn’t just an expectation; it’s a necessity. It’s a cornerstone of our culture. That's why we’re always seeking leaders—leaders like you—to bring your skills to life. We are one church meeting in multiple locations, and we want to help you become the person God made you to be. What You’ll Do Manage/lead the team’s projects and initiatives Collaborate with leaders to understand organizational data needs and translate them into data-driven projects Oversee the development of dashboards and reporting systems that deliver key insights Lead indirectly across multiple teams, driving cross-functional collaboration between technical teams and ministry departments Present complex analytical findings to leadership in compelling, accessible ways that enable informed decision-making Lead and develop a team of data analysts, providing mentorship, guidance, and performance feedback Establish data governance protocols and quality assurance measures to maintain data integrity Identify opportunities for process improvement and data optimization Continuously evaluate new technologies and analytics tools, in conjunction with other data teams in the organization Skills Needed to Succeed Ability to self-motivate, make independent decisions, and solve problems with innovation Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships Effective at process and organizational management to coordinate, structure, and provide vision to projects Strong leadership skills and understanding of developing and guiding others Bachelor's degree in Data Analytics, Data Science, Business, Statistics, or related field (Master's preferred) 5+ years of experience in data analysis, business intelligence, or related field preferred 3+ years of experience in a leadership or management capacity preferred Proven leadership experience managing technical teams, preferably in a data analytics environment Proficiency with SQL, data visualization tools, and analytics platforms (e.g. Tableau) Benefits We Offer ・ Paid parental leave, including maternity, paternity, and adoption leave. ・ Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons. ・ Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health. ・ Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase. ・ Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members. ・ Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health. ・ Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn’t stop there—the more years on staff, the greater the investment! ・ $160 annually in development dollars for team members to invest in their professional growth. ・ Casual dress and work environment. ・ And much more! Our Beliefs, Culture, and Commitment to Diversity At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual’s capacity to represent Life.Church’s beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church . While we unite around our mission, we know unity doesn’t mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page . All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.